Say hello to a new AIOps platform: Wave of the future or just another drop in the ocean?

Are self-healing applications on our horizon? CA Technologies’ new AIOps platform hopes to bring us closer to the future of intelligent automation. What are the grand plans for AIOps and is it a potential reality or just another buzzword?

Artificial Intelligence for IT Operations, also known as AIOps, gains momentum as our machine learning capabilities and algorithims become more complex. On October 16, 2018 CA Technologies revealed a new AIOps platform that will help teams automate tasks intelligently. The goal is self-healing applications.

Defining AIOps

In an interview with us in April 2018, CMO of FixStream (an AIOps platform which helps correlate, visualize, and predict issues across hybrid stacks) Enzo Signore had some ideas to share about how AI is transforming IT operations. He clarified that AIOps does not intend to eliminate existing operations, but it will continue to optimize them to maximum efficiency and agility. “Machine learning is transforming IT since it can correlate millions of disparate data points across the entire IT stack, detect patterns and predict issues much faster and with a much higher degree of accuracy than traditional tools can”, Signore stated.

DevOps broke down silos between Devs and Ops; AIOps hopes to augment the human developer with the power of artificial intelligence.

The benefits of big data in IT are becoming apparent and some industries are banking on its successful future. (One thing of note, getting started with AIOps doesn’t come cheap. Gartner provides a market guide listed at 1,295.00 USD for 9 pages.)

Self-healing apps?

As self-driving cars become a reality, are we also going to see self-driving apps?

In their press release, CA AIOps lists some of their capabilities for the new platform. Some of the highlights include:

Pre-packaged Algorithms and CA Integrations. Built-in machine-learning-driven algorithms, dashboards, and integrations speed time to value for customers. The CA AIOps platform also integrates with a wide variety of CA solutions.

Powerful open source-based engine. Built on top of CA Jarvis, a powerful analytics engine that leverages open technologies such as Elasticsearch, Apache Kafka®, and Apache Spark™, the solution scales and allows teams to more easily integrate with third-party business or IT data sources to further enrich the data set.

As always, we want to hear from you, the reader. Is AIOps just the latest buzzword in IT or does it have some industry-changing potential? Will it save teams precious time and help resolve issues, or it just a dream?

Sarah Schlothauer is an assistant editor for JAXenter.com. She received her Bachelor's degree from Monmouth University in Long Branch, New Jersey and is currently enrolled at Goethe University in Frankfurt, Germany where she is working on her Masters. She lives in Frankfurt with her husband and cat.